On the accuracy of photovoltaic power plant forecasting - from individual systems to national fleets.

关于光伏电站预测的准确性 - 从单个系统到国家机群。

• 批准号: 1953944
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1953944
• 关键词: accuracy; photovoltaic; power; plant; forecasting

The number of PV systems embedded within the GB electricity network has grown to over 800000 over the last 10 years with a combined generation capacity of over 12 GW. This growth is reducing the carbon intensity of GB electricity but poses additional problems for the system operator since embedded generation can only be monitored using statistical sampling of the generation and uncertainty in this monitoring can lead to greater levels of backup generation being needed. This project seeks to understand and quanitify errrors and uncertainty in approaches to monitor the embedded PV generation on the GB network. The project is part of wider GB PV monitoring research and collaborates with National grid and other energy stakeholders where appropriate.

在过去的10年里，嵌入在GB电网中的光伏系统数量已经增长到超过80万个，总发电量超过12吉瓦。这种增长降低了GB电力的碳强度，但给系统运营商带来了额外的问题，因为嵌入式发电只能使用发电的统计抽样进行监测，而这种监测的不确定性可能导致需要更高水平的备用发电。该项目旨在了解和量化的错误和不确定性的方法来监测嵌入式光伏发电的GB网络。该项目是更广泛的GB光伏监测研究的一部分，并在适当的情况下与国家电网和其他能源利益相关者合作。